Commercial vehicle fuel cell engine assembly diagnosis method and system and electronic equipment

Abstract

The invention discloses a commercial vehicle fuel cell engine assembly diagnosis method and system, and electronic equipment, and relates to the field of battery diagnosis, and the method comprises the steps: S1, collecting the related data of a fuel cell engine assembly, including a fuel cell stack, an air supply system, a hydrogen supply system, a thermal management system, a water management system, and a three-dimensional model of related accessories; s2, performing pretreatment on the three-dimensional model to meet grid division; the pretreatment comprises geometric defect repair, non-key part deletion, key feature retention and reinforcement, and contact area grid treatment; s3, constructing a multi-physics field coupling simulation model, defining material basic parameters and multi-field coupling parameters, and setting different component characteristic grid rules and nonlinear contact pairs; and S4, carrying out multi-working-condition boundary condition loading and solving, wherein the multi-working-condition boundary condition loading and solving comprise modal analysis, temperature field analysis, acceleration load analysis and random vibration analysis.

Description

Technical Field

[0001] This application relates to the field of battery diagnostics, and in particular to diagnostic methods, diagnostic systems, electronic devices, storage media, and diagnostic platforms for commercial vehicle fuel cell engine assemblies. Background Technology

[0002] As the core power source for commercial vehicles, the performance stability and durability of fuel cell engines directly determine the practicality and economy of the entire vehicle. In recent years, with the rapid development of the hydrogen energy industry and the continuous expansion of commercial vehicle fleet demonstration operations, reliability issues of fuel cell engines under complex, variable, and high-load operating environments have gradually become apparent. In particular, the performance degradation and frequent failures of key components such as the fuel cell stack, air system, and hydrogen recirculation system under harsh conditions such as vibration, load variation, and cold start have become major bottlenecks restricting their large-scale commercial application.

[0003] However, existing fault diagnosis and condition monitoring technologies are mostly based on threshold judgments of local signals such as voltage, temperature, and pressure, or offline experimental analysis, making it difficult to achieve early identification and accurate location of multiple faults within the system. On the one hand, traditional methods typically perform isolated analyses of single physical parameters, failing to fully reflect the system state evolution under the coupled effects of multiple processes such as electrochemical reactions, fluid transport, and thermal management. On the other hand, existing diagnostic strategies lack dynamic adaptability to actual operating environments, with models relying on design-stage parameters and failing to consider the impact of time-varying factors such as system aging and environmental disturbances, resulting in high false alarm and false negative rates, which cannot meet the requirements of long-term high-reliability operation for commercial vehicles.

[0004] Although the finite element method (FEM) has been widely applied in stress analysis and flow field optimization during the structural design phase of fuel cells, its application in real-time health management still has significant shortcomings. Firstly, most existing FEM models focus only on a single physical field (such as mechanical stress or temperature), failing to construct a multi-field coupled co-simulation framework and neglecting the interaction mechanism between heat, fluid, and force, resulting in significant errors in fault prediction. Secondly, there is a lack of an adaptive correction mechanism that deeply integrates real-time operating data with the simulation model, leading to lagging model parameter updates and difficulty in tracking the actual dynamic changes in the system state. Furthermore, the continuous vibration, shock, and humidity fluctuations in the commercial vehicle operating environment further increase the uncertainty of the system state, placing higher demands on the real-time performance and computational efficiency of the FEM model.

[0005] Therefore, constructing a multi-physics coupled finite element diagnostic system for commercial vehicle fuel cell engine assemblies, and achieving online assessment of their health status and early warning of latent faults through high-precision modeling and real-time data assimilation simulation optimization, is of urgent and important engineering significance for improving the operational reliability of fuel cell engines, extending their service life, and reducing their total life cycle cost. Summary of the Invention

[0006] The purpose of this invention is to provide a diagnostic method for a commercial vehicle fuel cell engine assembly, a diagnostic system for a commercial vehicle fuel cell engine assembly, an electronic device, a storage medium, and a diagnostic platform, thereby solving at least one of a number of technical problems.

[0007] 1. Existing fault diagnosis and condition monitoring technologies are mostly based on threshold judgment of local signals such as voltage, temperature, and pressure or offline experimental analysis, which makes it difficult to achieve early identification and accurate location of multiple faults inside the system.

[0008] 2. Traditional methods typically perform isolated analyses of single physical parameters, failing to fully reflect the system state evolution under the coupled effects of multiple processes such as electrochemical reactions, fluid transport, and thermal management.

[0009] 3. Existing diagnostic strategies lack dynamic adaptability to the actual operating environment. The models rely on parameters from the design stage and do not consider the impact of time-varying factors such as system aging and environmental disturbances, resulting in a high false alarm and false negative rate, which cannot meet the requirements of long-term high reliability operation of commercial vehicles.

[0010] 4. Although the finite element method has been widely used in stress analysis and flow field optimization in the structural design stage of fuel cells, its application in real-time health management still has obvious shortcomings.

[0011] This invention provides the following solution:

[0012] According to a first aspect of the present invention, a diagnostic method for a commercial vehicle fuel cell engine assembly is provided, comprising:

[0013] Step S1: Collect relevant data of the fuel cell engine assembly, including: fuel cell stack, air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories;

[0014] It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions;

[0015] Step S2: After preprocessing the 3D model, mesh generation is achieved.

[0016] Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing;

[0017] After mesh generation, output a .inp format model file;

[0018] Step S3: Construct a multiphysics coupled simulation model, define the basic material parameters and multi-field coupling parameters, and set the mesh rules and nonlinear contact pairs for different component characteristics;

[0019] Step S4 involves loading and solving multiple boundary conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis.

[0020] Step S5: Perform a strength evaluation based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

[0021] Furthermore, including:

[0022] In step S1, the material's multi-physics property data includes elastic modulus, Poisson's ratio, tensile strength, yield strength, S / N curve, coefficient of thermal expansion, wall heat transfer coefficient, and contact characteristics.

[0023] Each component is set with a real density parameter to ensure that the total mass of the fuel cell stack after conversion from the simplified model is equal to the actual mass.

[0024] Furthermore, including:

[0025] In step S2, geometric defect repair includes repairing model gaps and interference, manually repairing complex curved surfaces, eliminating micro-chamfers and process holes, and smoothing burrs on the edges of film electrodes;

[0026] The removal of non-critical components includes removing components that contribute less than 1% to the overall stiffness and performing mass point equivalence on the retained components.

[0027] Furthermore, including:

[0028] In step S2, the mesh processing of the contact area includes modeling a solid bolt.

[0029] The bolted connection surface uses node mapping to ensure consistent mesh density between master and slave surfaces and no initial penetration.

[0030] Furthermore, including:

[0031] In step S3, the nonlinear contact pairs include establishing contact pairs in key areas of the bolt preload surface, the suspension assembly, and the housing assembly surface.

[0032] Furthermore, including:

[0033] In step S4, the temperature field analysis includes calculating the heat dissipation on the shell surface through the radiation model and defining the convective heat transfer coefficient of the cooling channel.

[0034] A heat generation model is constructed based on actual operating conditions.

[0035] Furthermore, including:

[0036] In step S4, the random vibration analysis includes applying the standard PSD spectrum, defining the vibration duration corresponding to the target lifetime, and calculating the damage value and root mean square stress value.

[0037] Furthermore, including:

[0038] In step S5, the strength evaluation criteria include that the maximum stress value is less than the tensile strength limit of the material, or that the strength is determined by combining the safety factor calculated by FEMFAT software with empirical standards.

[0039] Furthermore, including:

[0040] In step S4, the modal analysis includes free modal calculation and constrained modal calculation;

[0041] Determine whether the structure needs improvement or optimization based on the calculation results.

[0042] According to a second aspect of the present invention, a diagnostic system for a commercial vehicle fuel cell engine assembly is provided, comprising:

[0043] The data collection module is used to collect data related to the fuel cell engine assembly, including: fuel cell stack, air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories;

[0044] It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions;

[0045] The preprocessing module is used to preprocess the 3D model to meet the requirements for mesh generation;

[0046] Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing;

[0047] After mesh generation, output a .inp format model file;

[0048] The model building module is used to build multiphysics coupled simulation models, define basic material parameters and multi-field coupling parameters, and set mesh rules and nonlinear contact pairs for different component characteristics.

[0049] The loading and solving module is used to load and solve boundary conditions under multiple working conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis.

[0050] The structural assessment module is used to evaluate the strength based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

[0051] According to a third aspect of the present invention, an electronic device is provided, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0052] The memory stores a computer program, which, when executed by the processor, causes the processor to perform steps such as those in a diagnostic method for a commercial vehicle fuel cell engine assembly.

[0053] According to a fourth aspect of the present invention, a computer-readable storage medium is provided storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform steps such as a diagnostic method for a fuel cell engine assembly in a commercial vehicle.

[0054] According to a fifth aspect of the present invention, a diagnostic platform is provided, comprising:

[0055] Electronic devices used to implement steps in diagnostic methods for fuel cell engine assemblies in commercial vehicles;

[0056] The processor runs programs, and when the programs are running, they execute steps such as diagnostic methods for fuel cell engine assemblies in commercial vehicles based on data output from electronic devices.

[0057] Storage medium used to store programs that, when run, execute steps such as diagnostic methods for fuel cell engine assemblies in commercial vehicles based on data output from electronic devices.

[0058] The above solution achieves the following beneficial technical effects:

[0059] This application constructs a high-fidelity parametric model using a three-dimensional geometric model of the fuel cell engine assembly, assembly relationship files, material multiphysics properties, and measured operating condition data to ensure consistency between simulation input and actual physical state.

[0060] This application achieves a balance between model accuracy and computational efficiency by using software to repair geometric defects and simplify non-critical features.

[0061] This application ensures the accuracy of stress analysis and contact convergence in critical areas by precisely dividing the mesh and mapping the nodes.

[0062] This application achieves multi-field coupled loading and efficient solution of temperature field, acceleration load and random vibration.

[0063] This application achieves strength assessment under dynamic loads by using stress fatigue damage calculation. Attached Figure Description

[0064] Figure 1This is a flowchart of a diagnostic method for a commercial vehicle fuel cell engine assembly provided by one or more embodiments of the present invention.

[0065] Figure 2 This is a structural diagram of a diagnostic system for a commercial vehicle fuel cell engine assembly provided in one or more embodiments of the present invention.

[0066] Figure 3 This is a schematic diagram of a fuel cell engine assembly provided in a specific embodiment of the present invention.

[0067] Figure 4 This is a block diagram of an electronic device structure for a diagnostic method for a commercial vehicle fuel cell engine assembly provided in one or more embodiments of the present invention. Attached Figure Description

[0068] 1. Gasoline-electric engine assembly mounting bracket; 2. Gasoline-electric engine fuel cell stack; 3. Gasoline-electric engine assembly accessories and their brackets. Detailed Implementation

[0069] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0070] Figure 1 This is a flowchart of a diagnostic method for a commercial vehicle fuel cell engine assembly provided by one or more embodiments of the present invention.

[0071] like Figure 1 The diagnostic methods for commercial vehicle fuel cell engine assemblies shown include:

[0072] Step S1: Collect relevant data of the fuel cell engine assembly, including: fuel cell stack (e.g., fuel cell engine stack 2), air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories;

[0073] It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions;

[0074] Step S2: After preprocessing the 3D model, mesh generation is achieved.

[0075] Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing;

[0076] After mesh generation, output a .inp format model file;

[0077] Step S3: Construct a multiphysics coupled simulation model, define the basic material parameters and multi-field coupling parameters, and set the mesh rules and nonlinear contact pairs for different component characteristics;

[0078] Step S4 involves loading and solving multiple boundary conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis.

[0079] Step S5: Perform a strength evaluation based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

[0080] In this embodiment, it includes:

[0081] In step S1, the material's multi-physics property data includes elastic modulus, Poisson's ratio, tensile strength, yield strength, S / N curve, coefficient of thermal expansion, wall heat transfer coefficient, and contact characteristics.

[0082] Each component is set with a real density parameter to ensure that the total mass of the fuel cell stack after conversion from the simplified model is equal to the actual mass.

[0083] In this embodiment, it includes:

[0084] In step S2, geometric defect repair includes repairing model gaps and interference, manually repairing complex curved surfaces, eliminating micro-chamfers and process holes, and smoothing burrs on the edges of film electrodes;

[0085] The removal of non-critical components includes removing components that contribute less than 1% to the overall stiffness and performing mass point equivalence on the retained components.

[0086] In this embodiment, it includes:

[0087] In step S2, the mesh processing of the contact area includes modeling a solid bolt.

[0088] The bolted connection surface uses node mapping to ensure consistent mesh density between master and slave surfaces and no initial penetration.

[0089] In this embodiment, it includes:

[0090] In step S3, the nonlinear contact pairs include establishing contact pairs in key areas of the bolt preload surface, the suspension assembly, and the housing assembly surface.

[0091] In this embodiment, it includes:

[0092] In step S4, the temperature field analysis includes calculating the heat dissipation on the shell surface through the radiation model and defining the convective heat transfer coefficient of the cooling channel.

[0093] A heat generation model is constructed based on actual operating conditions.

[0094] In this embodiment, it includes:

[0095] In step S4, the random vibration analysis includes applying the standard PSD spectrum, defining the vibration duration corresponding to the target lifetime, and calculating the damage value and root mean square stress value.

[0096] In this embodiment, it includes:

[0097] In step S5, the strength evaluation criteria include that the maximum stress value is less than the tensile strength limit of the material, or that the strength is determined by combining the safety factor calculated by FEMFAT software with empirical standards.

[0098] In this embodiment, it includes:

[0099] In step S4, the modal analysis includes free modal calculation and constrained modal calculation;

[0100] Determine whether the structure needs improvement or optimization based on the calculation results.

[0101] Figure 2 This is a structural diagram of a diagnostic system for a commercial vehicle fuel cell engine assembly provided in one or more embodiments of the present invention.

[0102] like Figure 2 The commercial vehicle fuel cell engine assembly diagnostic system shown includes:

[0103] The data collection module is used to collect data related to the fuel cell engine assembly, including: fuel cell stack, air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories;

[0104] It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions;

[0105] The preprocessing module is used to preprocess the 3D model to meet the requirements for mesh generation;

[0106] Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing;

[0107] After mesh generation, output a .inp format model file;

[0108] The model building module is used to build multiphysics coupled simulation models, define basic material parameters and multi-field coupling parameters, and set mesh rules and nonlinear contact pairs for different component characteristics.

[0109] The loading and solving module is used to load and solve boundary conditions under multiple working conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis.

[0110] The structural assessment module is used to evaluate the strength based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

[0111] It is worth noting that although this system / device only discloses the above-mentioned modules / units, it does not mean that this system / device is limited to the above-mentioned basic functional modules. On the contrary, what this invention intends to express is that, based on the above-mentioned basic functional modules, those skilled in the art can add one or more functional modules in combination with the prior art to form an infinite number of embodiments or technical solutions. That is to say, this system is open rather than closed. It cannot be assumed that the scope of protection of the claims of this invention is limited to the above-disclosed basic functional modules just because this embodiment only discloses a few basic functional modules.

[0112] In one specific embodiment, a simulation analysis method for a fuel cell stack installed inside a fuel cell engine is disclosed. This method includes analysis methods and procedures for the stiffness, temperature field, strength, and random vibration of the stack assembly, and utilizes ABAQUS / ANSA / FEMFAT software to complete simulation modeling, solving, and evaluation. Specifically, the ABAQUS / Standard finite element strength and stiffness calculations are performed on a minicomputer UNIX workstation, while the Femfat calculations are performed on a personal computer or minicomputer workstation. Pre- and post-processing are performed on a personal computer.

[0113] The analysis method in this embodiment ensures the validity of the analysis results by imposing detailed constraints on the simulation model's unit type, size, attributes, and model features. The specific analysis process is as follows:

[0114] 1. Definition of multi-component three-dimensional geometric models: Accurately construct three-dimensional geometric models of components such as the gas turbine engine assembly, fuel cell stack housing, fuel cell stack, turbocharger, water-hydrogen separator, hydrogen ejector, and intercooler to ensure consistency between each component and the actual assembly.

[0115] 2. Geometric simplification and feature cleanup: Simplify local features with minimal impact on calculation results (such as small chamfers, process holes, and non-load-bearing threads) to eliminate redundant geometric details; retain complete geometric features for key force transmission paths (such as bolt connection surfaces and longitudinal beam welding areas) to avoid stress concentration distortion.

[0116] 3. Model Correction: Analyze and verify the dynamic characteristics of the model, dynamically adjust the longitudinal beam cut-off length (retaining a length ≥ 3 times the cross-sectional height) to ensure that the model boundary conditions match the actual excitation.

[0117] 4. Input of basic material parameters: Determine the material properties used for each of the above components, including the elastic modulus, Poisson's ratio, tensile strength, yield strength, and S / N curve.

[0118] 5. Multi-field coupling parameter extension: Define temperature material properties, including coefficient of thermal expansion, wall heat transfer coefficient, and confidence interval of SN curve fitted by fatigue test data.

[0119] 6. Definition of mesh rules for different components: including definitions of different mesh sizes and cell types for fuel cell assembly housing, longitudinal beams, suspension assemblies, current collectors, and other components.

[0120] 7. Definition of nonlinear contact pairs: Establish contact pairs in key areas such as bolt preload surfaces, suspension assemblies, and housing assembly surfaces.

[0121] 8. Loading and solving of boundary conditions under multiple working conditions: Modal analysis extracts free modal calculations and constrained modal calculations respectively, and determines whether the structure needs to be improved based on the modal calculation results.

[0122] 9. Temperature field analysis: Heat dissipation on the shell surface is calculated using a radiation model, the convective heat transfer coefficient of the cooling channel is defined, and a heat generation model is constructed based on the actual fuel cell engine.

[0123] 10. Acceleration Load Analysis: Apply acceleration loads in all directions to the assembly and perform stiffness and strength calculations.

[0124] 11. Random Vibration Analysis: Apply the standard PSD spectrum to define the vibration duration corresponding to the target life, calculate the damage value and root mean square stress value, and evaluate whether the requirements are met.

[0125] In another specific embodiment, a simulation analysis method for a fuel cell engine assembly is disclosed. Through multi-level parameter constraints and multi-physics coupled modeling, high-precision structural mechanics and durability assessment is achieved. The specific implementation process is as follows:

[0126] First, it is necessary to collect the parameters and model of the fuel cell engine assembly to prepare for simulation analysis. The data to be collected includes:

[0127] 1. Three-dimensional models of fuel cell stack, air supply system, hydrogen supply system, thermal management system, water management system and related accessories.

[0128] 2. Assembly relationship documents, including bolt preload, contact relationship, welding relationship, etc.

[0129] 3. Key feature dimension table, such as the spatial dimensions of each subsystem, the cross-sectional dimensions of waterways and airways, etc.

[0130] 4. Determine the material properties of each component, including its elastic modulus, Poisson's ratio, tensile strength, yield strength, S / N curve, thermophysical properties, and contact characteristics. Each component needs to have the correct density set, and the total mass calculated from the simplified model of the fuel cell assembly should be equal to the actual mass.

[0131] 5. Operating conditions and load data: vibration acceleration spectrum, operating temperature field data, system pipeline pressure, etc.

[0132] Secondly, after the above data is complete, preprocessing is performed, followed by mesh generation. The mesh model requirements are as follows:

[0133] 1. Geometric defect repair: Use pre-processing software to repair gaps and interference in the model, manually repair complex curved surfaces, eliminate non-load-bearing features such as small chamfers and process holes, and smooth burrs on the edge of the membrane electrode.

[0134] 2. Removal of non-critical components: Remove brackets (e.g., gas turbine engine assembly suspension bracket 1, gas turbine engine assembly accessories and their brackets 3), decorative covers, and other components that contribute less than 1% to the overall stiffness; perform mass point equivalence on the remaining components to ensure conservation of inertial parameters.

[0135] 3. Key features are preserved and enhanced: Solid bolts are modeled, and the mesh nodes in the contact area correspond to each other to ensure smooth and accurate calculations.

[0136] 4. Mesh processing in the contact area: Node mapping is used on the bolt connection surface to ensure consistent mesh density between the master and slave surfaces and avoid initial penetration.

[0137] 5. After mesh generation, the output is a .inp format model file. For example... Figure 3 As shown.

[0138] Finally, temperature and pressure loads are applied to the gas turbine engine assembly, and temperature field, stiffness, and strength calculations are performed. After loading, the results are imported into ABAQUS software for solution calculation, and the calculation results are obtained as an .odb file. Stress data is read, and the results are evaluated. The evaluation criteria are determined based on the actual space and displacement requirements.

[0139] The .odb file is input into the femfat software to calculate the safety factor, and the strength of the fuel cell stack assembly is evaluated based on the safety factor. The safety factor evaluation criteria are formed through accumulated experience.

[0140] If there is no accumulated experience data or evaluation criteria, the strength can be evaluated based on the stress calculation results. The evaluation criteria is that the maximum stress value is less than the tensile strength limit of the material.

[0141] The technical features particularly emphasized in the above embodiments include:

[0142] 1. An integrated modeling technology based on the three-dimensional model of the fuel cell engine assembly, assembly relationship files, material multi-physics properties, and measured operating condition data ensures the consistency between the simulation model and the actual physical state.

[0143] 2. A standardized process for repairing geometric defects and simplifying non-critical features is achieved through pre-processing software.

[0144] 3. Mesh generation method and contact interface compatibility control strategy for fuel cell engine assembly.

[0145] 4. Modal analysis method for dynamically correcting model boundary conditions by combining test field vibration data.

[0146] 5. Integrated temperature field and pressure load multi-field coupling loading method.

[0147] 6. Random vibration load application method and damage value calculation and evaluation method.

[0148] 7. Strength assessment and safety factor calculation and evaluation standards based on dynamic loads.

[0149] Figure 4 This is a block diagram of an electronic device structure for a diagnostic method for a commercial vehicle fuel cell engine assembly provided in one or more embodiments of the present invention.

[0150] like Figure 4 As shown, this application provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0151] The memory stores a computer program that, when executed by a processor, causes the processor to perform steps of a diagnostic method for a commercial vehicle fuel cell engine assembly.

[0152] This application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of a diagnostic method for a commercial vehicle fuel cell engine assembly.

[0153] This application also provides a diagnostic platform, including:

[0154] Electronic equipment used to implement diagnostic methods for fuel cell engine assemblies in commercial vehicles;

[0155] The processor runs a program that executes steps of a diagnostic method for a commercial vehicle fuel cell engine assembly based on data output from electronic devices when the program is running.

[0156] Storage medium for storing programs that, when run, execute steps of a diagnostic method for a commercial vehicle fuel cell engine assembly based on data output from electronic devices.

[0157] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not indicate that there is only one bus or one type of bus.

[0158] The electronic device comprises a hardware layer, an operating system layer running on top of the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and memory. The operating system can be any one or more computer operating systems that control the electronic device through processes, such as Linux, Unix, Android, iOS, or Windows. Furthermore, in this embodiment of the invention, the electronic device can be a smartphone, tablet computer, or other handheld device, or a desktop computer, portable computer, or other electronic device; there is no particular limitation in this embodiment.

[0159] In this embodiment of the invention, the executing entity for electronic device control can be an electronic device itself, or a functional module within an electronic device capable of calling and executing a program. The electronic device can obtain the firmware corresponding to the storage medium. This firmware is provided by the supplier, and different storage media may have the same or different firmware; no limitation is made here. After obtaining the firmware corresponding to the storage medium, the electronic device can write this firmware into the storage medium; specifically, it burns the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented using existing technology, and will not be elaborated upon in this embodiment of the invention.

[0160] Electronic devices can also obtain reset commands corresponding to the storage media. The reset commands corresponding to the storage media are provided by the supplier. The reset commands corresponding to different storage media can be the same or different, and no restrictions are imposed here.

[0161] At this time, the storage medium of the electronic device is a storage medium on which the corresponding firmware has been written. The electronic device can respond to the reset command corresponding to the storage medium on which the corresponding firmware has been written, thereby resetting the storage medium on which the corresponding firmware has been written according to the reset command. The process of resetting the storage medium according to the reset command can be implemented by existing technology and will not be described in detail in this embodiment of the invention.

[0162] For ease of description, the above devices are described separately by function as various units and modules. Of course, in implementing this application, the functions of each unit and module can be implemented in one or more software and / or hardware.

[0163] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the meaning consistent with their meaning in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined.

[0164] For the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0165] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0166] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A diagnostic method for a commercial vehicle fuel cell engine assembly, characterized in that, The diagnostic method for the commercial vehicle fuel cell engine assembly includes: Step S1: Collect relevant data of the fuel cell engine assembly, including: fuel cell stack, air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories; It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions; Step S2: After preprocessing the 3D model, mesh generation is achieved. Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing; After mesh generation, output a .inp format model file; Step S3: Construct a multiphysics coupled simulation model, define the basic material parameters and multi-field coupling parameters, and set the mesh rules and nonlinear contact pairs for different component characteristics; Step S4 involves loading and solving multiple boundary conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis. Step S5: Perform a strength evaluation based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

2. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S1, the material's multi-physics property data includes elastic modulus, Poisson's ratio, tensile strength, yield strength, S / N curve, coefficient of thermal expansion, wall heat transfer coefficient, and contact characteristics. Each component is set with a real density parameter to ensure that the total mass of the fuel cell stack after conversion from the simplified model is equal to the actual mass.

3. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S2, geometric defect repair includes repairing model gaps and interference, manually repairing complex curved surfaces, eliminating micro-chamfers and process holes, and smoothing burrs on the edges of film electrodes; The removal of non-critical components includes removing components that contribute less than 1% to the overall stiffness and performing mass point equivalence on the retained components.

4. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S2, the mesh processing of the contact area includes modeling a solid bolt. The bolted connection surface uses node mapping to ensure consistent mesh density between master and slave surfaces and no initial penetration.

5. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S3, the nonlinear contact pairs include establishing contact pairs in key areas of the bolt preload surface, the suspension assembly, and the housing assembly surface.

6. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S4, the temperature field analysis includes calculating the heat dissipation on the shell surface through the radiation model and defining the convective heat transfer coefficient of the cooling channel. A heat generation model is constructed based on actual operating conditions.

7. The diagnostic method for commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S4, the random vibration analysis includes applying the standard PSD spectrum, defining the vibration duration corresponding to the target lifetime, and calculating the damage value and root mean square stress value.

8. The diagnostic method for a commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S5, the strength evaluation criteria include that the maximum stress value is less than the tensile strength limit of the material, or that the strength is determined by combining the safety factor calculated by FEMFAT software with empirical standards.

9. The diagnostic method for a commercial vehicle fuel cell engine assembly according to claim 1, characterized in that, include: In step S4, the modal analysis includes free modal calculation and constrained modal calculation; Determine whether the structure needs improvement or optimization based on the calculation results.

10. A diagnostic system for a commercial vehicle fuel cell engine assembly, characterized in that, The commercial vehicle fuel cell engine assembly diagnostic system includes: The data collection module is used to collect data related to the fuel cell engine assembly, including: fuel cell stack, air supply system, hydrogen supply system, thermal management system and water management system, as well as three-dimensional models of related accessories; It also includes assembly relationship documents, key feature dimension tables, multi-physics property data of component materials, and load data under operating conditions; The preprocessing module is used to preprocess the 3D model to meet the requirements for mesh generation; Preprocessing includes geometric defect repair, non-critical component removal, key feature preservation and enhancement, and contact area mesh processing; After mesh generation, output a .inp format model file; The model building module is used to build multiphysics coupled simulation models, define basic material parameters and multi-field coupling parameters, and set mesh rules and nonlinear contact pairs for different component characteristics. The loading and solving module is used to load and solve boundary conditions under multiple working conditions, including modal analysis, temperature field analysis, acceleration load analysis, and random vibration analysis. The structural assessment module is used to evaluate the strength based on the solution results, including determining whether the structure meets the usage requirements by calculating stress data and safety factors.

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